Sr. Data Scientist (Global Media Agency)
Data Science
Machine Learning (ML)
Python
PostgreSQLOur client combines Adtech and Martech platform strategy with data science & data engineering expertise, helping our clients make advertising work better for people.
- Act as primary day-to-day contact on analytics to agency-client leads
- Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
- Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
- Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
- Ensure data quality and integrity
- Interpret and analyse data problems
- Build analytic systems and predictive models
- Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements
- Min 6 - 7 years’ experience working in Data Science
- Prior experience as a Data Scientist within a digital media is desirable
- Solid understanding of machine learning
- A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
- Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
- A knack for statistical analysis and predictive modelling
- Good knowledge of R, Python
- Experience with SQL, MYSQL, PostgreSQL databases
- Knowledge of data management and visualization techniques
- Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
- Evidence of technical comfort and good understanding of internet functionality desirable
- Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
- Proactive and results-oriented
- A positive, can-do attitude with a thirst to continually learn new things
- An ability to work independently and collaboratively with a wide range of teams
- Excellent communication skills, both written and oral
Subodh Popalwar
Software Engineer, Memorres
About Global Media Agency - A client of Merito
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DATA ENGINEER
Overview
They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.
Responsibilities:
Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.
Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.
Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.
Qualifications:
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
Solid understanding of data modeling, data warehousing, and ETL principles.
Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).
Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
Excellent communication and collaboration skills to work effectively in a team environment.
Preferred Qualifications:
Advanced knowledge of distributed computing and parallel processing.
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
Certification in relevant technologies or data engineering disciplines.
Technical Knowledge (Must Have)
- Strong experience in SQL / HiveQL/ AWS Athena,
- Strong expertise in the development of data pipelines (snaplogic is preferred).
- Design, Development, Deployment and administration of data processing applications.
- Good Exposure towards AWS and Azure Cloud computing environments.
- Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
- Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
- Knowledge in Python
- Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
- Experience/knowledge in SnapLogic (ETL Technologies)
- Working knowledge on Unix (AIX, Linux), shell scripting
- Experience/knowledge in Data Modeling. Database Development
- Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI
Machine Learning (ML)PythonResponsibilities
-
Create data funnels to feed into models via web, structured and unstructured data
-
Maintain coding standards using SDLC, Git, AWS deployments etc
-
Keep abreast of developments in the field
-
Deploy models in production and monitor them
-
Documentations of processes and logic
-
Take ownership of the solution from code to deployment and performance
JavascriptPython
HTML/CSS- Design, build web crawlers to scrape data and URLs.
- Integrate the data crawled and scraped into our databases
- Create more/better ways to crawl relevant information
- Strong knowledge of web technologies (HTML, CSS, Javascript, XPath, Regex)
- Understanding of data privacy policies (esp. GDPR) and personally identifiable information
- Develop automated and reusable routines for extracting information from various data sources
- Prepare requirement summary and re-confirm with Operation team
- Translate business requirements into specific solutions
- Ability to relay technical information to non-technical users
- Demonstrate Effective problem solving and analytical skill
- Ability to pay attention to detail, pro-active, critical thinking and accuracy is essential
- Ability to work to deadlines and give realistic estimates
Skills & Expertise
- 2+ years of web scraping experience
- Experience with two or more of the following web scraping frameworks and tools: Selenium, Scrapy, Import.io, Webhose.io, ScrapingHub, ParseHub, Phantombuster, Octoparse, Puppeter, etc.
- Basic knowledge of data engineering (database ingestion, ETL, etc.)
- Solution orientation and "can do" attitude - with a desire to tackle complex problems.
1. Communicate with the clients and understand their business requirements.
2. Build, train, and manage your own team of junior data engineers.
3. Assemble large, complex data sets that meet the client’s business requirements.
4. Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, including the cloud.
6. Assist clients with data-related technical issues and support their data infrastructure requirements.
7. Work with data scientists and analytics experts to strive for greater functionality.
Skills required: (experience with at least most of these)
1. Experience with Big Data tools-Hadoop, Spark, Apache Beam, Kafka etc.
2. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
3. Experience in ETL and Data Warehousing.
4. Experience and firm understanding of relational and non-relational databases like MySQL, MS SQL Server, Postgres, MongoDB, Cassandra etc.
5. Experience with cloud platforms like AWS, GCP and Azure.
6. Experience with workflow management using tools like Apache Airflow.
PythonResponsibilities
- Build and mentor the computer vision team at TransPacks
- Drive to productionize algorithms (industrial level) developed through hard-core research
- Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
- Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
- Entrepreneurial and out-of-box thinking essential for a technology startup
- Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
Eligibility
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (courses, projects etc) and 6-8 years of experience
- Tech in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Thesis work) and 4-7 years of experience
- D in Computer Science and Engineering/Electronics/Electrical Engineering, with demonstrated interest in Image Processing/Computer vision (Ph. D. Dissertation) and inclination to working in Industry to provide innovative solutions to practical problems
Requirements
- In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
- Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
- Ability to understand, optimize and debug imaging algorithms
- Understating and experience in openCV library
- Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
- Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
- Understanding of engineering principles and a clear understanding of data structures and algorithms
- Experience in writing production level codes using either C++ or Java
- Experience with technologies/libraries such as python pandas, numpy, scipy
- Experience with tensorflow and scikit.
Our client is an innovative Fintech company that is revolutionizing the business of short term finance. The company is an online lending startup that is driven by an app-enabled technology platform to solve the funding challenges of SMEs by offering quick-turnaround, paperless business loans without collateral. It counts over 2 million small businesses across 18 cities and towns as its customers.
- Performing extensive analysis on SQL, Google Analytics & Excel from a product standpoint to provide quick recommendations to the management
- Estimating impact and weighing in on feature prioritization, looking for insights and anomalies across lending funnel,
- Defining key metrics and monitor on a day to day basis
- Helping Marketing, product and UX team in defining segments by conducting user interviews and data backed insights
What you need to have:
- B.Tech /B.E.;Any Graduation
- Strong background in statistical concepts & calculations to perform analysis/ modeling
- Proficient in SQL
- Good knowledge of Google Analytics and any other web analytics platforms (preferred)
- Strong analytical and problem solving skills to analyze large quantum of datasets
- Ability to work independently and bring innovative solutions to the team
- Experience of working with a start-up or a product organization (preferred)
PostgreSQLData Engineer - GCP - data migration/PostGres/ORACLE
Budget : 200,000 Rs/Month
Domain Knowledge : Banking
Contract Hire : 12 Months
No. of Open Position : 2 Nos
Roles and Responsibilities :
- This role will involve all aspects of data migration with respect to any microservice being migrated.
- Analyze the source schema for the service in question
- Skilled at using the migration design to produce an instance of any templates or artifacts required to migrate the data
- Deliver a working version of the migration design to migrate the data for the service in question
- Develop a suite of scripts that will allow technical verification - either automated (e.g. - rowcouts) or manual (e.g field comparisons)
- Assist in the triage and resolution of any data related defects
Mandatory skills :
- Previous experience of data migration
- Knowledge of PostGres and ORACLE
- Previous experience of Data Analysis
Data SciencePythonMachine Learning (ML)
Data AnalyticsData ScienceMachine Learning (ML)Python
Follow CutshortSubodh Popalwar
Software Engineer, Memorres